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相关概念视频

Imaging Studies II: Ultrasonography01:24

Imaging Studies II: Ultrasonography

330
IntroductionUltrasonography, or renal ultrasound, is a noninvasive medical imaging technique that uses high-frequency sound waves to visualize the kidneys, ureters, bladder, and surrounding tissues.Indications for Urinary System UltrasonographyUrinary system ultrasonography is indicated in various clinical scenarios, such as:Kidney Stones (Urolithiasis): To detect and monitor the size and presence of kidney or urinary tract stones.Hydronephrosis: To assess the dilation of the renal pelvis and...
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Ultrasound I: Abdominal Ultrasonography01:20

Ultrasound I: Abdominal Ultrasonography

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Introduction:
Abdominal ultrasonography, commonly known as abdominal ultrasound, is a vital, non-invasive medical imaging technique widely used in healthcare.
Procedure:
This diagnostic tool allows the clinician to visually inspect internal structures within the abdomen, including vital organs such as the liver, gallbladder, pancreas, kidneys, and spleen.
The abdominal ultrasound process begins with applying a special gel to the patient's skin over the abdomen. This gel enhances the...
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Ultrasonography01:17

Ultrasonography

7.3K
Ultrasonography is an imaging technique that uses high-frequency sound waves to visualize the body's internal structures. It is a non-invasive and safe procedure that does not involve the use of ionizing radiation, making it widely used in various medical fields. Ultrasonography is used to study heart function, blood flow in the neck or extremities, certain conditions such as gallbladder disease, and fetal growth and development.
During an ultrasonography procedure, a handheld device called...
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Ultrasound II: Endoscopic Ultrasound and FibroScan01:25

Ultrasound II: Endoscopic Ultrasound and FibroScan

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Endoscopic Ultrasound (EUS) and FibroScan are valuable diagnostic tools in gastroenterology and hepatology, each with specific applications and techniques.
Endoscopic Ultrasound (EUS):
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相关实验视频

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A Swin Transformer-Based Model for Thyroid Nodule Detection in Ultrasound Images
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A Swin Transformer-Based Model for Thyroid Nodule Detection in Ultrasound Images

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临床超声成像的深度学习:从监督方法到基础模型

Keshi He, Donglai Wei, Bryan Ranger

    IEEE journal of biomedical and health informatics
    |November 26, 2025
    PubMed
    概括

    基础模型,在庞大的数据集上进行预训练,为超声波成像中的AI提供了范式转变. 它们有望克服数据稀缺等局限性,并在各种临床应用中提高诊断性能.

    科学领域:

    • 人工智能的人工智能
    • 医疗成像医学成像
    • 超声波技术 超声波技术 超声波技术

    背景情况:

    • 传统的深度学习模型缺乏跨领域的概括性.
    • 基础模型,在广泛的数据上进行预训练,使广泛的任务支持成为可能.
    • 超声波成像是一种低成本,多功能临床工具,具有AI增强的潜力.

    研究的目的:

    • 审查临床超声波中的深度学习 (DL) 应用.
    • 突出基础模型在超声波诊断中的潜力.
    • 讨论超声波中DL的挑战和未来方向.

    主要方法:

    • 对使用DL的超声波图像分析最新文献的综述.
    • 强调监督,自我监督,歧视,生成和基础模型.
    • 基于DL的超声波临床应用的概述.

    主要成果:

    • 基础模型显示了提高超声波诊断性能的前景.
    • DL的进步包括监督,自我监督和生成AI方法.
    • 关键的挑战包括有限的标记数据和域变性.

    结论:

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    • 基础模型可以显著扩大超声波的范围并提高超声波的诊断准确性.
    • 应对数据稀缺等挑战对于更广泛的采用至关重要.
    • 未来的研究应该专注于推进临床超声波的DL技术.